{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aa4bd5f3-9cd7-4ce1-989a-baa15947780b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "import os\n",
    "sys.path.append('../../src')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4ffefeb6-c8ec-4e41-bece-b7377094d9c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sryolo.devtools import dataset_utils\n",
    "from sryolo.devtools import label_studio_utils\n",
    "from sryolo.devtools import ultralytics_utils\n",
    "from sryolo.utils import label_utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1badd8e0-cac0-4df3-905d-f22da77df4aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "ultralytics_utils.init_ultralytics_settings()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3f54b682-8f71-40c4-96d7-806718869d62",
   "metadata": {},
   "outputs": [],
   "source": [
    "origin_img_size = 32 * 68\n",
    "img_size_div = 2\n",
    "#origin_img_size = 32 * 69\n",
    "#img_size_div = 3\n",
    "train_img_size = origin_img_size // img_size_div\n",
    "export_img_size = (1080 // img_size_div, 1920 // img_size_div)\n",
    "\n",
    "task_name = 'simuni'\n",
    "dataset_name = f'{task_name}-{origin_img_size}'\n",
    "objects_to_use = label_utils.read_sim_uni_objects()\n",
    "labels_version = 'v1'\n",
    "\n",
    "pretrained_model_name = 'yolov8n'\n",
    "train_name = f'{pretrained_model_name}-{export_img_size[1]}-{task_name}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f7f22c52-8c83-46c1-9958-f2bfd61fee19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('worldpatrol-2176', 'yolov8n-960-worldpatrol')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_name, train_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "479338cd-1a14-4bfb-940a-2e256e0c5db2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['扑满', '空间站黑塔·可破坏物·箱子', '空间站黑塔·可破坏物·罐子', '重子', '反重子', '虚卒·掠夺者', '虚卒·抹消者', '虚卒·篡改者', '次蛰虫', '幼蛰虫', '雅利洛·可破坏物·木桶', '雅利洛·可破坏物·罐子', '无想面具', '霜晶造物', '炎华造物', '鸣雷造物', '巽风造物', '虚数织叶者', '自动机兵·蜘蛛', '自动机兵·甲虫', '流浪者', '永冬灾影', '火焚灾影', '银鬃近卫', '银鬃射手', '银鬃炮手', '基层员工·外勤', '基层员工·安保', '仙舟罗浮·可破坏物·陶罐', '仙舟罗浮·可破坏物·罐子', '入魔机巧·灯昼龙鱼',\n",
       "       '入魔机巧·率从狻猊', '入魔机巧·浓云金蟾', '云骑巡防士兵', '魔阴身士卒', '「药王秘传」器元士', '「药王秘传」内丹士', '丰饶灵兽·奎木', '丰饶灵兽·娄金', '魔阴武弁', '幽府武弁', '匹诺康尼·可破坏物·气球', '匹诺康尼·可破坏物·可乐', '惊梦剧团的圆幕先生', '惊梦剧团的气泡埋伏', '惊梦剧团的弹簧荷官', '惊梦剧团的舞鸫假面', '惊梦剧团的发条暴徒', '忆域迷因「视线无处不在」', '忆域迷因「我心支离破碎」', '模拟宇宙·下层入口', '模拟宇宙·事件', '模拟宇宙·沉浸奖励', '模拟宇宙·下层入口-未激活', '界面提示-被锁定',\n",
       "       '界面提示-可攻击'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "objects_to_use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c395ca96-da94-4269-81d8-4be550d170b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Autosplitting images from F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\images, using *.txt labeled images only\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 819/819 [00:00<00:00, 4021.20it/s]\n"
     ]
    }
   ],
   "source": [
    "dataset_utils.prepare_dateset(dataset_name, objects_to_use=objects_to_use)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "551db8d1-57a2-409d-957c-f68a6e4cc36c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ultralytics import YOLO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "93c69b5b-a628-4fd4-b08c-3f7f8dc1a156",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = YOLO(ultralytics_utils.get_base_model_path(f'{pretrained_model_name}.pt'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "84ee5bbc-41fc-431b-b6e6-36b884bde8ab",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ultralytics YOLOv8.1.44  Python-3.11.9 torch-2.2.2+cu121 CUDA:0 (NVIDIA GeForce RTX 4070 Ti, 12282MiB)\n",
      "\u001B[34m\u001B[1mengine\\trainer: \u001B[0mtask=detect, mode=train, model=F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\models\\yolov8n.pt, data=F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\dataset.yaml, epochs=1000, time=None, patience=100, batch=-1, imgsz=1088, save=True, save_period=-1, cache=False, device=None, workers=8, project=F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176, name=yolov8n-960-worldpatrol, exist_ok=True, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=1, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\n",
      "Overriding model.yaml nc=80 with nc=38\n",
      "\n",
      "                   from  n    params  module                                       arguments                     \n",
      "  0                  -1  1       464  ultralytics.nn.modules.conv.Conv             [3, 16, 3, 2]                 \n",
      "  1                  -1  1      4672  ultralytics.nn.modules.conv.Conv             [16, 32, 3, 2]                \n",
      "  2                  -1  1      7360  ultralytics.nn.modules.block.C2f             [32, 32, 1, True]             \n",
      "  3                  -1  1     18560  ultralytics.nn.modules.conv.Conv             [32, 64, 3, 2]                \n",
      "  4                  -1  2     49664  ultralytics.nn.modules.block.C2f             [64, 64, 2, True]             \n",
      "  5                  -1  1     73984  ultralytics.nn.modules.conv.Conv             [64, 128, 3, 2]               \n",
      "  6                  -1  2    197632  ultralytics.nn.modules.block.C2f             [128, 128, 2, True]           \n",
      "  7                  -1  1    295424  ultralytics.nn.modules.conv.Conv             [128, 256, 3, 2]              \n",
      "  8                  -1  1    460288  ultralytics.nn.modules.block.C2f             [256, 256, 1, True]           \n",
      "  9                  -1  1    164608  ultralytics.nn.modules.block.SPPF            [256, 256, 5]                 \n",
      " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 11             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 12                  -1  1    148224  ultralytics.nn.modules.block.C2f             [384, 128, 1]                 \n",
      " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 14             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 15                  -1  1     37248  ultralytics.nn.modules.block.C2f             [192, 64, 1]                  \n",
      " 16                  -1  1     36992  ultralytics.nn.modules.conv.Conv             [64, 64, 3, 2]                \n",
      " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 18                  -1  1    123648  ultralytics.nn.modules.block.C2f             [192, 128, 1]                 \n",
      " 19                  -1  1    147712  ultralytics.nn.modules.conv.Conv             [128, 128, 3, 2]              \n",
      " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 21                  -1  1    493056  ultralytics.nn.modules.block.C2f             [384, 256, 1]                 \n",
      " 22        [15, 18, 21]  1    758722  ultralytics.nn.modules.head.Detect           [38, [64, 128, 256]]          \n",
      "Model summary: 225 layers, 3018258 parameters, 3018242 gradients, 8.2 GFLOPs\n",
      "\n",
      "Transferred 319/355 items from pretrained weights\n",
      "Freezing layer 'model.22.dfl.conv.weight'\n",
      "\u001B[34m\u001B[1mAMP: \u001B[0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...\n",
      "\u001B[34m\u001B[1mAMP: \u001B[0mchecks passed \n",
      "\u001B[34m\u001B[1mAutoBatch: \u001B[0mComputing optimal batch size for imgsz=1088\n",
      "\u001B[34m\u001B[1mAutoBatch: \u001B[0mCUDA:0 (NVIDIA GeForce RTX 4070 Ti) 11.99G total, 0.33G reserved, 0.07G allocated, 11.60G free\n",
      "      Params      GFLOPs  GPU_mem (GB)  forward (ms) backward (ms)                   input                  output\n",
      "     3018258        23.8         0.545         16.01         65.49      (1, 3, 1088, 1088)                    list\n",
      "     3018258       47.59         0.958         12.68         27.78      (2, 3, 1088, 1088)                    list\n",
      "     3018258       95.18         1.558         14.68         29.17      (4, 3, 1088, 1088)                    list\n",
      "     3018258       190.4         2.781         24.35          38.8      (8, 3, 1088, 1088)                    list\n",
      "     3018258       380.7         5.761         54.94         61.36     (16, 3, 1088, 1088)                    list\n",
      "\u001B[34m\u001B[1mAutoBatch: \u001B[0mUsing batch-size 19 for CUDA:0 7.12G/11.99G (59%) \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001B[34m\u001B[1mtrain: \u001B[0mScanning F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\labels... 735 images, 0 backgrounds, 0 corrupt: 100%|███████\u001B[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001B[34m\u001B[1mtrain: \u001B[0mNew cache created: F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\labels.cache\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001B[34m\u001B[1mval: \u001B[0mScanning F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\labels... 84 images, 0 backgrounds, 0 corrupt: 100%|██████████\u001B[0m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001B[34m\u001B[1mval: \u001B[0mNew cache created: F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\labels.cache\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting labels to F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\labels.jpg... \n",
      "\u001B[34m\u001B[1moptimizer:\u001B[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n",
      "\u001B[34m\u001B[1moptimizer:\u001B[0m SGD(lr=0.01, momentum=0.9) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.00044531249999999996), 63 bias(decay=0.0)\n",
      "Image sizes 1088 train, 1088 val\n",
      "Using 8 dataloader workers\n",
      "Logging results to \u001B[1mF:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\u001B[0m\n",
      "Starting training for 1000 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     1/1000      8.33G      1.464      5.637       1.24         87       1088: 100%|██████████| 39/39 [00:12<00:00,  3.09it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361          0          0          0          0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     2/1000      7.66G      1.379      4.755      1.169         90       1088: 100%|██████████| 39/39 [00:08<00:00,  4.69it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361     0.0396      0.548      0.113     0.0763\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     3/1000      7.66G      1.431      4.032      1.187         89       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.675      0.075       0.18      0.116\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     4/1000      7.77G      1.426      3.609      1.194         52       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.351      0.214      0.223      0.142\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     5/1000      7.68G      1.404      3.341      1.194         49       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.545      0.206      0.225       0.15\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     6/1000      7.77G      1.385      2.994       1.17         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.383      0.352      0.332      0.211\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     7/1000       7.7G      1.348      2.763      1.145         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.48      0.367       0.38      0.253\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     8/1000      7.69G      1.306      2.707      1.157         72       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.486      0.476       0.47      0.307\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "name": "stderr",
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      "     9/1000      7.66G      1.329      2.476      1.136         85       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.734      0.403      0.484      0.308\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "name": "stderr",
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      "    10/1000      7.79G      1.295      2.358      1.155         85       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.649      0.371      0.457      0.295\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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      "    11/1000      7.56G      1.272      2.245      1.139         54       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.528       0.49      0.493      0.314\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "    12/1000      7.79G      1.252      2.078      1.121         74       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.547      0.526      0.549      0.362\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "    13/1000      7.55G      1.248      1.997      1.114         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.531      0.598      0.581      0.374\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    14/1000      7.66G      1.228       1.92      1.104         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.626      0.547      0.594      0.393\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    15/1000      7.54G      1.234      1.812      1.108         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.693      0.553      0.605      0.394\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "    16/1000      7.66G      1.208      1.699      1.104         78       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.606       0.53      0.579       0.37\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    17/1000      7.69G      1.233      1.682      1.117         71       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.703      0.493      0.603      0.397\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
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    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    18/1000      7.68G        1.2      1.592      1.107         75       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.564      0.615      0.595      0.382\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    19/1000      7.58G      1.184      1.513       1.09         88       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.558       0.64      0.649      0.423\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    20/1000      7.66G      1.176      1.461      1.091         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.577      0.654      0.664      0.456\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    21/1000      7.69G      1.172      1.426      1.094         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.659       0.61      0.637      0.417\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    22/1000      7.77G      1.177      1.423      1.099         89       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.61      0.684      0.658       0.45\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    23/1000       7.7G      1.149       1.33      1.082         81       1088: 100%|██████████| 39/39 [00:08<00:00,  4.87it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.579       0.67      0.677      0.458\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    24/1000      7.54G      1.139      1.257       1.06         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.594       0.63      0.645      0.424\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    25/1000      7.66G      1.132      1.244      1.074         78       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.624      0.595      0.664      0.421\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    26/1000       7.7G      1.118      1.195      1.069         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.546      0.663      0.666      0.457\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    27/1000      7.67G      1.127       1.18      1.072         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.725      0.701      0.793      0.528\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    28/1000      7.69G      1.114      1.124       1.06         80       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.639      0.612       0.65      0.447\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    29/1000       7.6G      1.118      1.127      1.055         98       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.653      0.682      0.711      0.465\n"
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    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
     "text": [
      "                   all         84        361      0.677      0.598      0.655      0.448\n"
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    31/1000      7.66G      1.099      1.083      1.057         52       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.76      0.611      0.685      0.467\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "    32/1000      7.79G      1.109      1.039      1.051         68       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.684      0.679      0.723      0.498\n"
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    },
    {
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
     "name": "stdout",
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      "                   all         84        361      0.587      0.731      0.725       0.48\n"
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    },
    {
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    34/1000      7.63G      1.096      1.056      1.056         69       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
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      "                   all         84        361      0.709      0.607      0.675       0.46\n"
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    },
    {
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    35/1000      7.55G      1.106      1.013      1.054        100       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361       0.81      0.611      0.745      0.509\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
     "name": "stdout",
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      "                   all         84        361      0.729      0.604       0.66      0.437\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.694      0.717      0.748      0.496\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    38/1000      7.67G      1.067     0.9609       1.04         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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    },
    {
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      "                   all         84        361      0.784      0.684      0.762      0.526\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    39/1000       7.7G      1.083     0.9757      1.042         72       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
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      "                   all         84        361       0.78      0.695      0.767      0.534\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    40/1000      7.58G      1.072     0.9423      1.027         83       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
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      "                   all         84        361       0.61      0.678      0.696      0.478\n"
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    {
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    41/1000      7.66G      1.046     0.9342       1.03         85       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
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      "                   all         84        361      0.705      0.658      0.715      0.494\n"
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    {
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     "output_type": "stream",
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    42/1000      7.66G      1.065     0.9149      1.034         78       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361       0.72      0.733      0.749      0.517\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    43/1000       7.7G       1.05     0.8953      1.023        101       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.796      0.638      0.736      0.517\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    44/1000      7.66G      1.064     0.9302      1.022         83       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.744      0.656       0.75      0.514\n"
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    {
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     "output_type": "stream",
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    45/1000      7.66G      1.063     0.9019      1.027         83       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.794      0.688      0.769      0.535\n"
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    {
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     "output_type": "stream",
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      "\n"
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    46/1000      7.77G      1.029     0.8756      1.018         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.668      0.687      0.715      0.501\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    47/1000      7.79G      1.043       0.86       1.02        115       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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     "output_type": "stream",
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      "                   all         84        361      0.695      0.753      0.772      0.538\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    48/1000      7.77G      1.059     0.8341      1.016         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.738      0.707      0.751      0.519\n"
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    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    49/1000       7.7G      1.025     0.8374      1.019         88       1088: 100%|██████████| 39/39 [00:08<00:00,  4.87it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.753      0.716      0.798       0.56\n"
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    {
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     "output_type": "stream",
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "name": "stdout",
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      "                   all         84        361      0.696       0.77      0.786      0.533\n"
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     "output_type": "stream",
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      "\n"
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    51/1000      7.47G     0.9977     0.8358      1.002         68       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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     "name": "stdout",
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      "                   all         84        361      0.854      0.652      0.786      0.553\n"
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    52/1000      7.66G      1.023     0.8307      1.011         72       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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     "name": "stdout",
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      "                   all         84        361      0.775      0.721      0.763      0.533\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    53/1000      7.69G      1.012     0.8242      1.006        104       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    {
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     "output_type": "stream",
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      "                   all         84        361      0.706      0.724      0.744      0.511\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
     "text": [
      "                   all         84        361       0.71      0.703      0.782       0.54\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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      "    55/1000      7.69G     0.9801     0.7877     0.9898         80       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.814      0.769      0.837      0.583\n"
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    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.807      0.711      0.814      0.562\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.754      0.731      0.751      0.512\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    58/1000      7.79G      1.015     0.7961      1.007        105       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.745      0.685      0.763      0.529\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.766      0.717      0.781      0.535\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.832      0.694      0.765      0.529\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    62/1000      7.44G     0.9665     0.7507     0.9817        100       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
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      "                   all         84        361      0.769      0.711      0.769      0.531\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    63/1000      7.55G     0.9781     0.7657      0.994         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
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      "                   all         84        361      0.756      0.728      0.774       0.53\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    64/1000      7.66G     0.9699     0.7644     0.9894         98       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    66/1000      7.66G     0.9669     0.7537     0.9832         43       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.794      0.713      0.779      0.532\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    67/1000      7.68G     0.9573     0.7225     0.9818         92       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.801      0.681      0.752      0.518\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361       0.75      0.808      0.843      0.598\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.765      0.762      0.816      0.584\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.791      0.772      0.822      0.578\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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    },
    {
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      "                   all         84        361      0.734      0.795      0.826      0.572\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
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      "                   all         84        361      0.699      0.755       0.78      0.554\n"
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    },
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    80/1000      7.67G     0.9282     0.6683     0.9698         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
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      "                   all         84        361      0.771      0.723       0.76      0.535\n"
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    },
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.841       0.72      0.802      0.588\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.728        0.8      0.797       0.56\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361       0.74      0.784      0.776      0.551\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.722       0.75      0.793      0.558\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361       0.73      0.818      0.831      0.578\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.717      0.769      0.807      0.541\n"
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.832        0.7      0.784      0.552\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    89/1000      7.68G     0.9038     0.6581     0.9619         65       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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      "                   all         84        361      0.768      0.752      0.774      0.542\n"
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    90/1000      7.44G     0.9146     0.6603     0.9609         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.777      0.773      0.798      0.576\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    91/1000      7.69G     0.8927     0.6465     0.9598         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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      "                   all         84        361       0.74      0.814      0.816      0.578\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.844      0.724      0.794      0.542\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.807      0.704      0.807      0.567\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.833        0.7      0.805      0.558\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.712      0.748      0.785      0.526\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.847       0.73      0.792      0.544\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "    99/1000       7.6G     0.8809     0.6199     0.9527        103       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.783      0.774      0.842        0.6\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   100/1000      7.58G      0.872     0.6202     0.9586         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   101/1000      7.55G     0.8938     0.6286     0.9582         73       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.855      0.713      0.825      0.584\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   102/1000      7.68G     0.8658     0.6186     0.9501         91       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.738      0.783      0.802      0.574\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   103/1000      7.42G     0.8764     0.6141     0.9546         57       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.802      0.757      0.788      0.537\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   104/1000      7.66G     0.8672       0.62     0.9505         51       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.805      0.722      0.772      0.526\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   105/1000      7.67G     0.8537      0.608     0.9462         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.741      0.744      0.785      0.547\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   106/1000      7.77G     0.8806     0.6289     0.9513         79       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.77      0.705      0.756      0.536\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   107/1000      7.54G     0.8769     0.6209     0.9522        118       1088: 100%|██████████| 39/39 [00:07<00:00,  4.88it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.743      0.832      0.841      0.595\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   108/1000      7.64G     0.8583     0.6052     0.9465         80       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.689      0.783      0.772      0.528\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   109/1000      7.68G     0.8667     0.6067     0.9477         91       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.83      0.755      0.828       0.57\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   110/1000      7.56G     0.8702      0.612     0.9531         45       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.736      0.733      0.789      0.553\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   111/1000      7.69G     0.8551     0.6091      0.948         69       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.813      0.722      0.788      0.546\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   112/1000      7.66G     0.8477     0.5915     0.9393         56       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.736      0.802       0.81      0.585\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   113/1000      7.69G     0.8592     0.5908     0.9511         61       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.753      0.756      0.798      0.577\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   114/1000      7.54G     0.8491     0.5836     0.9406         80       1088: 100%|██████████| 39/39 [00:07<00:00,  4.88it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.764      0.781      0.821      0.573\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   115/1000      7.54G     0.8373     0.5894      0.934         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.738      0.814      0.818      0.588\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   116/1000      7.68G     0.8487     0.5956     0.9419         50       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361        0.8      0.705       0.78      0.564\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   117/1000      7.69G     0.8532     0.5791     0.9449         54       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.786      0.796      0.846      0.598\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
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      "   118/1000       7.6G     0.8487     0.5813     0.9414         67       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.748      0.796      0.821      0.589\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
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      "   119/1000      7.69G     0.8287     0.5873     0.9404         71       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.712      0.763      0.757      0.534\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
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      "   120/1000      7.66G     0.8365     0.5914     0.9426         85       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.788      0.722      0.795       0.56\n"
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    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "   121/1000      7.77G     0.8196     0.5685     0.9337         86       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     "output_type": "stream",
     "text": [
      "                   all         84        361      0.795      0.702      0.775       0.55\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "   122/1000      7.67G     0.8398     0.5766     0.9413         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     "output_type": "stream",
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      "                   all         84        361      0.802      0.746       0.81      0.561\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361       0.86      0.711      0.821      0.568\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   124/1000      7.77G     0.8178     0.5741     0.9275         83       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.865      0.759      0.852      0.586\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   125/1000       7.7G     0.8314     0.5677     0.9391        100       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.746      0.783      0.817      0.582\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   126/1000      7.67G     0.8403     0.5664     0.9377         46       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.751      0.753      0.778      0.551\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   127/1000      7.68G     0.8366     0.5758     0.9496         47       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.758      0.805      0.817       0.58\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   128/1000      7.69G     0.8362     0.5879     0.9404         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.802      0.833      0.827      0.574\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   129/1000      7.64G     0.8468     0.5726     0.9349         61       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.837      0.771      0.826      0.572\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   130/1000      7.54G     0.8332      0.574     0.9372        102       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.809      0.769      0.844      0.593\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   131/1000       7.7G     0.8283     0.5612     0.9324         69       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.79      0.709      0.774      0.549\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   132/1000      7.79G       0.82     0.5586     0.9374         57       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.85      0.726      0.823      0.579\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   133/1000      7.69G     0.8229     0.5536     0.9381         70       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.723      0.773      0.802      0.558\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   134/1000      7.67G     0.8171     0.5583     0.9366         56       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.759      0.813      0.819      0.577\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   135/1000      7.56G     0.8117     0.5596     0.9368         71       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.766       0.75      0.801       0.55\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   136/1000      7.55G     0.8258     0.5573     0.9357         64       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.833      0.791      0.839      0.575\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   137/1000      7.68G     0.8062     0.5444     0.9285         70       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.796      0.767      0.823      0.576\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   138/1000      7.36G      0.809     0.5432     0.9288         79       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.824      0.694      0.799      0.561\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   139/1000      7.67G     0.8028     0.5419     0.9198        111       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.784      0.842      0.838      0.594\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   140/1000       7.7G     0.8037     0.5309     0.9252         98       1088: 100%|██████████| 39/39 [00:08<00:00,  4.75it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.809      0.784      0.825       0.59\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "   141/1000      7.66G     0.7977     0.5475      0.929         80       1088: 100%|██████████| 39/39 [00:08<00:00,  4.76it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.729      0.836      0.864      0.609\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
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      "   142/1000      7.54G     0.7997     0.5412     0.9245         61       1088: 100%|██████████| 39/39 [00:08<00:00,  4.68it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.775      0.788      0.831       0.59\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   143/1000      7.54G     0.7994      0.536     0.9318         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.72it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.747      0.786      0.796       0.57\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   144/1000      7.69G     0.7797     0.5373     0.9254         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.69it/s]\n",
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     "output_type": "stream",
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      "                   all         84        361      0.751      0.775      0.824       0.58\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   145/1000      7.67G     0.7797      0.524     0.9251         51       1088: 100%|██████████| 39/39 [00:08<00:00,  4.74it/s]\n",
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    {
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     "output_type": "stream",
     "text": [
      "                   all         84        361      0.697      0.797      0.814      0.579\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   146/1000      7.56G     0.8052     0.5442     0.9251         80       1088: 100%|██████████| 39/39 [00:08<00:00,  4.69it/s]\n",
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      "                   all         84        361      0.773      0.827      0.851      0.586\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   147/1000      7.55G      0.793     0.5335     0.9256         91       1088: 100%|██████████| 39/39 [00:08<00:00,  4.66it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.727      0.829      0.836       0.57\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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     "output_type": "stream",
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      "   148/1000       7.7G     0.7987     0.5334     0.9195         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.17it/s]"
     ]
    },
    {
     "name": "stdout",
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      "                   all         84        361      0.734      0.825      0.834      0.584\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   149/1000      7.64G     0.7843     0.5352      0.916         88       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.08it/s]"
     ]
    },
    {
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      "                   all         84        361      0.816      0.801      0.845      0.593\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   150/1000      7.66G     0.8038     0.5269     0.9237         86       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.821      0.766      0.811      0.569\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   151/1000      7.69G     0.7773     0.5183     0.9178        103       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.842      0.775      0.834      0.601\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   152/1000      7.69G     0.7714     0.5255     0.9146         87       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.844      0.781      0.841      0.589\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   153/1000      7.66G     0.7904     0.5285     0.9187         75       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.739      0.861      0.859      0.616\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   154/1000      7.54G      0.797     0.5281     0.9247         68       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.743      0.826      0.846      0.612\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   155/1000      7.56G     0.7708     0.5114      0.913         69       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.878      0.732      0.799      0.565\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   156/1000      7.67G     0.7984     0.5334     0.9178         78       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
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     "output_type": "stream",
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      "                   all         84        361       0.76      0.827      0.836       0.58\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   157/1000      7.69G     0.7809     0.5256      0.913         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    {
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     "output_type": "stream",
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      "                   all         84        361      0.805      0.789      0.797      0.554\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   158/1000       7.7G     0.7848     0.5302     0.9171         98       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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     "output_type": "stream",
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      "                   all         84        361      0.765      0.867      0.857      0.586\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   159/1000      7.69G     0.7621     0.5153     0.9219         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.721      0.835       0.83      0.582\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   160/1000      7.67G      0.769     0.5103      0.913         95       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.713      0.823      0.824      0.572\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
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     "output_type": "stream",
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      "   161/1000      7.66G     0.7877     0.5158      0.917         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.819      0.758      0.846      0.598\n"
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    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   162/1000      7.66G     0.7751      0.526     0.9215         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.825      0.726      0.839      0.593\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   163/1000      7.79G     0.7823     0.5211       0.92         61       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.826      0.745      0.816      0.573\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   164/1000      7.66G     0.7744     0.5239     0.9195        100       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.728      0.822      0.837      0.574\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   165/1000      7.59G     0.7808     0.5192     0.9123         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.866      0.733      0.835      0.589\n"
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    {
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   166/1000      7.46G     0.7802      0.511     0.9122         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
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     "output_type": "stream",
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      "                   all         84        361      0.775      0.786      0.817      0.566\n"
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   167/1000      7.64G     0.7679     0.5095     0.9145         89       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     "output_type": "stream",
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      "                   all         84        361      0.715      0.835      0.829      0.584\n"
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    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   168/1000      7.66G     0.7701     0.5054     0.9151         72       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.763      0.806      0.837      0.591\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.775      0.791      0.816      0.571\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   170/1000      7.69G     0.7658      0.507      0.916         50       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.72      0.829      0.828      0.576\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   171/1000      7.63G     0.7525     0.5117     0.9102        103       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.09it/s]"
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    },
    {
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      "                   all         84        361      0.717       0.85      0.858      0.599\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   172/1000       7.7G      0.763     0.5125     0.9177         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.821      0.713      0.812      0.562\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   173/1000       7.7G     0.7619     0.5014     0.9183         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
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    },
    {
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      "                   all         84        361      0.711      0.822      0.825      0.587\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   174/1000      7.68G     0.7623     0.5002     0.9121         79       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.812      0.761      0.828      0.593\n"
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    },
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   175/1000      7.58G     0.7452     0.4906     0.9066         69       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
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      "                   all         84        361       0.83      0.697      0.798      0.563\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   176/1000      7.64G     0.7442     0.4894     0.9156         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.798      0.753       0.82       0.58\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361       0.86      0.772      0.836      0.575\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
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      "                   all         84        361      0.794      0.779      0.805      0.577\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
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      "                   all         84        361      0.825      0.742      0.818      0.575\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.701      0.812      0.793       0.57\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
     "name": "stdout",
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      "                   all         84        361      0.769      0.772      0.776      0.566\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   182/1000      7.55G     0.7465     0.4928     0.9092         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.753      0.771      0.791      0.558\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   183/1000      7.69G     0.7433     0.4929     0.9121        111       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.769      0.759      0.793      0.565\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   184/1000      7.69G     0.7395     0.4949     0.9107         68       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    {
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     "output_type": "stream",
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      "                   all         84        361       0.76      0.791      0.821      0.589\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   185/1000      7.66G     0.7349     0.4934     0.9095         61       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
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     "output_type": "stream",
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      "                   all         84        361      0.743      0.794      0.801      0.569\n"
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     "output_type": "stream",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   186/1000      7.69G     0.7468     0.5006      0.906         79       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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     "name": "stdout",
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      "                   all         84        361      0.752      0.788      0.799      0.554\n"
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     "output_type": "stream",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   187/1000      7.69G     0.7313     0.4837     0.8976         91       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.861      0.739       0.82      0.573\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   188/1000      7.67G     0.7358     0.4862     0.9078         58       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.771      0.843      0.838      0.594\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.757      0.807       0.82      0.582\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.769      0.786      0.841      0.606\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   193/1000      7.63G     0.7191      0.483     0.9031         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.811      0.758      0.822      0.587\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
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      "   194/1000      7.55G     0.7217     0.4791     0.8965         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.74      0.811      0.811      0.579\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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      "   195/1000      7.67G      0.727     0.4773     0.9062         55       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.07it/s]"
     ]
    },
    {
     "name": "stdout",
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      "                   all         84        361      0.811      0.789      0.818      0.587\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   196/1000      7.79G     0.7169     0.4702     0.8969         75       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.789      0.818      0.846      0.601\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   197/1000      7.79G     0.7258     0.4726      0.904         90       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.84      0.821       0.84      0.611\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   198/1000      7.68G     0.7206     0.4765     0.9018         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361       0.79      0.786      0.835       0.58\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
     "text": [
      "   199/1000      7.66G     0.7247     0.4715     0.8998         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.772      0.807      0.806      0.563\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   200/1000      7.68G     0.7203     0.4774     0.9037         79       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.743       0.82      0.807      0.566\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   201/1000      7.67G     0.7006     0.4661     0.8916         57       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.754      0.825      0.814      0.575\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   202/1000       7.7G     0.7066     0.4625     0.8948         79       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.759      0.799       0.81      0.564\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   203/1000      7.69G     0.7092     0.4666     0.8972         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.802      0.783      0.802      0.565\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
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      "   204/1000      7.42G     0.7173     0.4785     0.8962         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.768       0.78       0.81      0.583\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
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     "output_type": "stream",
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      "   205/1000      7.66G     0.7244     0.4795     0.8997        104       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.734      0.863      0.834      0.598\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   206/1000      7.79G     0.7087     0.4716     0.9012         65       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.737      0.801      0.816      0.579\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
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      "   207/1000      7.66G      0.723     0.4629     0.8986        105       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.782      0.788      0.832      0.591\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   208/1000      7.66G     0.7219     0.4726     0.8973         80       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.811      0.771      0.831      0.594\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   209/1000      7.69G     0.7172     0.4646     0.8941         83       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.824      0.809      0.864      0.615\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   210/1000      7.79G     0.7138     0.4688     0.9004         70       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.847      0.808      0.851      0.614\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   211/1000      7.77G     0.7097     0.4662     0.8988         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.838      0.756      0.818      0.592\n"
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   212/1000      7.66G     0.7252     0.4702     0.8951         51       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.866      0.757      0.856      0.603\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   213/1000      7.77G     0.7167     0.4692     0.8954         43       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.821      0.822      0.844      0.595\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   214/1000      7.47G     0.7163     0.4616     0.9039         56       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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      "                   all         84        361      0.782      0.855      0.863      0.622\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   215/1000      7.58G     0.7137     0.4649     0.8914         97       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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      "                   all         84        361      0.816      0.756      0.823      0.585\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   216/1000      7.66G     0.7109     0.4632     0.9068         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.07it/s]"
     ]
    },
    {
     "name": "stdout",
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     "text": [
      "                   all         84        361      0.743      0.821      0.809      0.576\n"
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    },
    {
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   217/1000      7.64G     0.7027      0.464     0.8973         95       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
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      "                   all         84        361      0.796      0.783      0.834      0.591\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.725      0.838      0.834      0.594\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.763       0.78      0.829      0.594\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.791      0.765      0.812      0.579\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   221/1000      7.46G     0.7099     0.4664     0.8966         55       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.767      0.809      0.824      0.583\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.846        0.8      0.848       0.59\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.815      0.796      0.847      0.593\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   224/1000      7.64G     0.6855     0.4527     0.8946         68       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
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     "output_type": "stream",
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      "                   all         84        361      0.766      0.798       0.84      0.591\n"
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    },
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   225/1000      7.79G     0.7191     0.4689     0.8968         67       1088: 100%|██████████| 39/39 [00:08<00:00,  4.73it/s]\n",
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      "                   all         84        361      0.869      0.755       0.84      0.596\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   227/1000      7.68G     0.6933     0.4558     0.8907        122       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.812      0.767      0.818      0.583\n"
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    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   228/1000       7.7G     0.6947     0.4571     0.8913         51       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.727      0.813      0.812       0.57\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.846       0.77      0.831      0.579\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   230/1000      7.68G     0.6854     0.4396     0.8904         87       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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      "                   all         84        361      0.768      0.832      0.835      0.602\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   231/1000      7.77G     0.6865     0.4474     0.8877         51       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.821      0.755      0.848      0.614\n"
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   232/1000      7.55G     0.6796     0.4531     0.8871         93       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.766      0.859      0.852      0.613\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   233/1000      7.69G     0.6904     0.4525     0.8965         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.86it/s]\n",
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      "                   all         84        361      0.829      0.814      0.844      0.586\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   234/1000      7.63G     0.6994     0.4529     0.8929         64       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.855      0.792      0.845      0.589\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.836      0.814      0.849      0.606\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.854      0.752      0.843      0.608\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.833      0.771      0.852      0.601\n"
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      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.98it/s]"
     ]
    },
    {
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      "                   all         84        361      0.843      0.793      0.847      0.598\n"
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    },
    {
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.782      0.813       0.84      0.594\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.832      0.796      0.863      0.615\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.838      0.786      0.854      0.613\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.802      0.762       0.83      0.592\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.821      0.781      0.812      0.577\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.788      0.804        0.8       0.56\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.798      0.814      0.828      0.587\n"
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      "                   all         84        361      0.862      0.773      0.838      0.587\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.867      0.759      0.841      0.592\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   250/1000      7.77G     0.6589     0.4316     0.8839         87       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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      "                   all         84        361      0.849      0.793      0.852        0.6\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   251/1000      7.67G     0.6723     0.4388     0.8885         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.757      0.828       0.84      0.595\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   252/1000      7.67G     0.6726     0.4304     0.8773         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361       0.78      0.774      0.828      0.588\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   253/1000       7.7G     0.6679     0.4271     0.8854         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.823      0.771       0.84        0.6\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.815      0.762      0.827      0.593\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   255/1000      7.69G     0.6651     0.4346     0.8842         58       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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      "                   all         84        361      0.723      0.834      0.843      0.606\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.809      0.815      0.847      0.597\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.717      0.843       0.85      0.605\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   262/1000      7.77G     0.6634     0.4324     0.8792         78       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.81it/s]"
     ]
    },
    {
     "name": "stdout",
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     "text": [
      "                   all         84        361      0.821        0.8      0.833        0.6\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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      "   263/1000      7.63G     0.6852     0.4337      0.886         69       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.766      0.851       0.84      0.599\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   264/1000       7.7G     0.6616     0.4278     0.8796        101       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
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      "                   all         84        361      0.744      0.841      0.862       0.61\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   265/1000      7.66G     0.6677     0.4289     0.8854         85       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
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      "                   all         84        361      0.882      0.794      0.862      0.607\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   266/1000      7.58G     0.6695     0.4286     0.8796         96       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
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      "                   all         84        361      0.841      0.816      0.851      0.608\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
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      "                   all         84        361      0.815      0.775      0.827      0.576\n"
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    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   268/1000      7.64G     0.6568     0.4331     0.8856         55       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.794       0.83      0.843       0.59\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   269/1000      7.66G     0.6733      0.437     0.8849         64       1088: 100%|██████████| 39/39 [00:08<00:00,  4.78it/s]\n",
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    },
    {
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      "                   all         84        361      0.787      0.839      0.836        0.6\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   270/1000      7.55G     0.6574     0.4283     0.8811         83       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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    },
    {
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     "output_type": "stream",
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      "                   all         84        361      0.792      0.828      0.862      0.613\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   271/1000      7.77G     0.6739     0.4365     0.8849         71       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
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      "                   all         84        361      0.829      0.791      0.851      0.602\n"
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   272/1000      7.66G     0.6642     0.4331     0.8805         93       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    {
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      "                   all         84        361      0.724      0.865      0.854      0.611\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   273/1000       7.7G     0.6551     0.4277     0.8828         79       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361       0.78      0.788      0.829      0.594\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   274/1000      7.77G     0.6674     0.4313     0.8821         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    {
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      "                   all         84        361      0.816      0.765      0.816      0.587\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   275/1000       7.7G     0.6526      0.418      0.876         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.812        0.8      0.818      0.581\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   276/1000      7.58G     0.6617     0.4262      0.879         95       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.784      0.831      0.848      0.616\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   277/1000      7.67G     0.6392     0.4151     0.8685         56       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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     "output_type": "stream",
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      "                   all         84        361      0.821      0.821      0.843      0.618\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   278/1000      7.67G     0.6446     0.4232     0.8766         59       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.769      0.802      0.826      0.591\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   279/1000      7.79G     0.6427     0.4174      0.879         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
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     "output_type": "stream",
     "text": [
      "                   all         84        361        0.7       0.86      0.833      0.611\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   280/1000      7.77G     0.6515     0.4239      0.879         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.87it/s]\n",
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    {
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     "output_type": "stream",
     "text": [
      "                   all         84        361      0.712       0.83      0.816      0.576\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   281/1000       7.7G     0.6436     0.4205     0.8797         55       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.758      0.777      0.805      0.586\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   282/1000      7.64G     0.6478     0.4186     0.8786         64       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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      "                   all         84        361      0.868      0.809      0.845      0.609\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   283/1000      7.68G     0.6375     0.4102     0.8724         74       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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      "                   all         84        361      0.808      0.795      0.811       0.59\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   284/1000      7.66G      0.643     0.4243     0.8748         91       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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      "                   all         84        361      0.765      0.805      0.825      0.595\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   285/1000      7.66G     0.6422     0.4205     0.8697         89       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.842       0.78      0.841        0.6\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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     "output_type": "stream",
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      "   286/1000      7.54G     0.6421     0.4156     0.8715         87       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.05it/s]"
     ]
    },
    {
     "name": "stdout",
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      "                   all         84        361      0.809      0.787      0.828      0.607\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   287/1000      7.68G     0.6451       0.42     0.8808        111       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.18it/s]"
     ]
    },
    {
     "name": "stdout",
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      "                   all         84        361      0.773       0.83      0.855      0.621\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   288/1000      7.66G     0.6412     0.4181       0.87         70       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
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     "text": [
      "                   all         84        361      0.799      0.806      0.838      0.612\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   289/1000      7.77G     0.6377     0.4171     0.8785         56       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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     ]
    },
    {
     "name": "stdout",
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      "                   all         84        361      0.821      0.768      0.826      0.595\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   290/1000      7.66G     0.6427     0.4184     0.8758         95       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
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      "                   all         84        361      0.835      0.795      0.829      0.601\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   291/1000       7.7G     0.6326     0.4075       0.87         97       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.796       0.79      0.831      0.596\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   292/1000      7.67G     0.6284     0.4108     0.8721         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.848      0.766       0.82      0.595\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   293/1000      7.66G     0.6238     0.4037     0.8693         78       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.852       0.75      0.805      0.579\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   294/1000      7.69G     0.6229     0.4043     0.8707         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.786      0.806      0.837      0.599\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   295/1000       7.7G     0.6308     0.4066     0.8742         57       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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     "output_type": "stream",
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      "                   all         84        361      0.854      0.774      0.846      0.604\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   296/1000      7.64G     0.6395     0.4105      0.873         52       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361       0.87      0.756      0.844      0.618\n"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "   297/1000      7.77G     0.6191     0.4086     0.8752        102       1088: 100%|██████████| 39/39 [00:08<00:00,  4.76it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.869      0.778      0.869      0.634\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   298/1000      7.58G      0.634     0.4124     0.8759         69       1088: 100%|██████████| 39/39 [00:08<00:00,  4.77it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.902      0.744      0.865      0.613\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
     "text": [
      "   299/1000      7.79G      0.653     0.4175     0.8788         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.80it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.845      0.766      0.835      0.597\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   300/1000      7.54G     0.6198     0.4039     0.8709         70       1088: 100%|██████████| 39/39 [00:08<00:00,  4.68it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.849      0.759      0.813      0.581\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   301/1000       7.6G     0.6359     0.4207     0.8696         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.75it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.866      0.734      0.822      0.581\n"
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    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   302/1000      7.79G      0.631     0.4075     0.8746         81       1088: 100%|██████████| 39/39 [00:08<00:00,  4.63it/s]\n",
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.733      0.859       0.84      0.587\n"
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    {
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     "output_type": "stream",
     "text": [
      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "   303/1000       7.7G     0.6215      0.402      0.875         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.72it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.859      0.792      0.834      0.585\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   304/1000      7.36G     0.6243     0.4112     0.8674         94       1088: 100%|██████████| 39/39 [00:08<00:00,  4.69it/s]\n",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   305/1000      7.79G     0.6232     0.4032     0.8669         64       1088: 100%|██████████| 39/39 [00:08<00:00,  4.79it/s]\n",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   306/1000      7.79G     0.6333     0.4115     0.8704         64       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   308/1000      7.66G     0.6148     0.4027      0.867         71       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.835      0.755        0.8      0.568\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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      "   309/1000       7.7G      0.629     0.4126     0.8709         80       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.34it/s]"
     ]
    },
    {
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      "                   all         84        361      0.813      0.764      0.804      0.568\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   310/1000      7.64G     0.6181     0.4038     0.8743         85       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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     ]
    },
    {
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      "                   all         84        361      0.857      0.751      0.836        0.6\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   311/1000      7.79G     0.6295     0.4043      0.868         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.833      0.768       0.83      0.599\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
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      "                   all         84        361      0.814      0.789      0.834      0.606\n"
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    },
    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   313/1000      7.68G     0.6314     0.4089     0.8686         66       1088: 100%|██████████| 39/39 [00:08<00:00,  4.72it/s]\n",
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    },
    {
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      "                   all         84        361      0.859      0.769      0.835      0.602\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   314/1000      7.77G     0.6316     0.4088     0.8759         67       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
     "name": "stdout",
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      "                   all         84        361      0.838      0.779      0.811      0.585\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   315/1000      7.64G     0.6225     0.4047     0.8756         50       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
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      "                   all         84        361      0.845      0.778      0.835      0.596\n"
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    {
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   316/1000      7.56G     0.6049     0.4013     0.8668         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361       0.79      0.823      0.814      0.594\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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      "   317/1000      7.77G     0.6112        0.4     0.8664         76       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.795      0.776      0.819      0.596\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   318/1000      7.77G     0.6222      0.406     0.8718         82       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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     "output_type": "stream",
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      "                   all         84        361      0.786      0.795      0.838      0.593\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   319/1000      7.68G     0.6154     0.4031     0.8686         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    {
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      "                   all         84        361      0.779      0.816      0.829       0.59\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   320/1000      7.69G     0.6124     0.4028     0.8698         97       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    {
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     "output_type": "stream",
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      "                   all         84        361      0.796      0.827      0.852      0.608\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "   321/1000       7.7G     0.6134     0.3972     0.8703         60       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.839       0.79      0.842      0.604\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   322/1000      7.64G     0.6128     0.3996     0.8721         51       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.852      0.784      0.848       0.61\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "                   all         84        361      0.793      0.813      0.845      0.607\n"
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    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   324/1000      7.66G     0.6104     0.3927     0.8652         83       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.789      0.817      0.823      0.584\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   325/1000       7.7G     0.6073     0.3949     0.8705         89       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.723      0.835      0.833      0.588\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.805      0.784      0.841      0.588\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.843      0.741      0.846      0.606\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   331/1000      7.55G     0.6101     0.3925      0.867        100       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.19it/s]"
     ]
    },
    {
     "name": "stdout",
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      "                   all         84        361      0.823      0.794      0.835       0.59\n"
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    },
    {
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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    {
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      "                   all         84        361      0.853      0.787      0.845      0.604\n"
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    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.839      0.799      0.861      0.607\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361       0.78      0.865      0.869      0.614\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.867      0.763      0.848        0.6\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.837      0.792      0.832      0.596\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.843      0.801      0.852      0.603\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    {
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      "                   all         84        361      0.799       0.79      0.831      0.597\n"
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    },
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      "                   all         84        361      0.788      0.792       0.83      0.587\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.853      0.758      0.842      0.595\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361       0.84      0.805      0.866      0.616\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.856      0.795      0.861       0.62\n"
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     "output_type": "stream",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   343/1000       7.7G     0.6046     0.3865     0.8686         88       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.883       0.75      0.825      0.593\n"
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.799      0.808       0.82      0.587\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.821       0.78      0.819      0.588\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                   all         84        361      0.831        0.8      0.844      0.605\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   347/1000      7.66G     0.6007      0.389     0.8651         58       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "                   all         84        361      0.837      0.769      0.816      0.576\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   348/1000      7.68G     0.5977      0.385     0.8609         65       1088: 100%|██████████| 39/39 [00:08<00:00,  4.87it/s]\n",
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      "                   all         84        361      0.784      0.784      0.838      0.594\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   349/1000      7.66G     0.6021     0.3838     0.8631         85       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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      "                   all         84        361      0.758      0.804      0.831      0.592\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   354/1000      7.66G     0.5967       0.39     0.8598         70       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.731      0.825      0.839      0.588\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\n"
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    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
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      "   355/1000      7.63G     0.5942     0.3814     0.8605         78       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.01it/s]"
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    },
    {
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      "                   all         84        361      0.849      0.756      0.844      0.585\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   356/1000       7.7G     0.5894     0.3857     0.8667        104       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
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      "                   all         84        361      0.749       0.83       0.83      0.582\n"
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    },
    {
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   357/1000      7.77G     0.5779     0.3819     0.8606         64       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.806      0.829       0.85      0.592\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   358/1000      7.54G     0.5999     0.3857     0.8681         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
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      "                   all         84        361      0.774      0.837      0.823      0.578\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   359/1000      7.77G     0.5902     0.3851     0.8643         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.784      0.847      0.845      0.599\n"
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    },
    {
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   360/1000      7.69G     0.5953     0.3898     0.8647         43       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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    },
    {
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      "                   all         84        361      0.779      0.863       0.86      0.609\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   361/1000      7.66G     0.5794     0.3828     0.8587        106       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.822      0.841      0.859      0.611\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   362/1000       7.7G     0.5831     0.3807     0.8602         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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    },
    {
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      "                   all         84        361      0.767      0.846      0.848      0.597\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "   363/1000       7.7G     0.5856     0.3844     0.8598         63       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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     "output_type": "stream",
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      "                   all         84        361       0.86      0.787      0.857      0.603\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   364/1000      7.79G      0.593     0.3845     0.8597         67       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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    },
    {
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      "                   all         84        361      0.848      0.776       0.86      0.616\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   365/1000      7.54G     0.5943      0.385     0.8632         96       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361       0.86       0.77      0.851      0.622\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   366/1000       7.7G     0.5954     0.3865     0.8608         74       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.852      0.786      0.862      0.612\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   367/1000      7.66G     0.6021     0.3898     0.8694         93       1088: 100%|██████████| 39/39 [00:08<00:00,  4.87it/s]\n",
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     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361       0.84      0.819      0.852      0.611\n"
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    {
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   368/1000      7.56G     0.5899     0.3856     0.8585         52       1088: 100%|██████████| 39/39 [00:08<00:00,  4.78it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.873      0.803      0.859      0.607\n"
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    {
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     "output_type": "stream",
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      "\n"
     ]
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   369/1000      7.54G     0.5817      0.375     0.8636        103       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.855      0.796      0.867      0.624\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   370/1000       7.7G     0.5884     0.3876      0.864         44       1088: 100%|██████████| 39/39 [00:08<00:00,  4.76it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.865      0.763      0.853      0.619\n"
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    {
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   371/1000      7.66G     0.5919     0.3869     0.8612         54       1088: 100%|██████████| 39/39 [00:08<00:00,  4.81it/s]\n",
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    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all         84        361      0.752      0.844      0.867       0.62\n"
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    {
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "   372/1000      7.42G     0.5975     0.3949     0.8672         58       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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      "                   all         84        361      0.758      0.852      0.851      0.597\n"
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     "output_type": "stream",
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
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      "   373/1000      7.66G     0.5705     0.3797     0.8612         61       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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      "                   all         84        361      0.845      0.784       0.87      0.619\n"
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     "output_type": "stream",
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      "\n"
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    {
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "   374/1000      7.66G     0.5909     0.3799     0.8621         77       1088: 100%|██████████| 39/39 [00:08<00:00,  4.83it/s]\n",
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     "output_type": "stream",
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      "                   all         84        361      0.872      0.771      0.861      0.621\n"
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      "\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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     "output_type": "stream",
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      "   375/1000      7.68G     0.5767     0.3757     0.8593         70       1088: 100%|██████████| 39/39 [00:08<00:00,  4.85it/s]\n",
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     "output_type": "stream",
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      "                   all         84        361      0.759      0.841      0.861      0.617\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "   376/1000       7.7G      0.586     0.3802     0.8625         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.84it/s]\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.26it/s]"
     ]
    },
    {
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      "                   all         84        361      0.863      0.763      0.859       0.62\n"
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    },
    {
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      "\n"
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    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
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      "   378/1000       7.6G     0.5849     0.3855     0.8685         62       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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      "\n"
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    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
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     "output_type": "stream",
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      "   397/1000      7.58G     0.5766     0.3759     0.8539         87       1088: 100%|██████████| 39/39 [00:08<00:00,  4.82it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.865       0.76      0.859      0.621\n",
      "\u001B[34m\u001B[1mEarlyStopping: \u001B[0mTraining stopped early as no improvement observed in last 100 epochs. Best results observed at epoch 297, best model saved as best.pt.\n",
      "To update EarlyStopping(patience=100) pass a new patience value, i.e. `patience=300` or use `patience=0` to disable EarlyStopping.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "397 epochs completed in 0.987 hours.\n",
      "Optimizer stripped from F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\\last.pt, 6.5MB\n",
      "Optimizer stripped from F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\\best.pt, 6.5MB\n",
      "\n",
      "Validating F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\\best.pt...\n",
      "Ultralytics YOLOv8.1.44  Python-3.11.9 torch-2.2.2+cu121 CUDA:0 (NVIDIA GeForce RTX 4070 Ti, 12282MiB)\n",
      "Model summary (fused): 168 layers, 3013058 parameters, 0 gradients, 8.1 GFLOPs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "                   all         84        361      0.869      0.778      0.868      0.635\n",
      "               0001-pm         84          3      0.566      0.465      0.455      0.319\n",
      "               0002-xz         84         10      0.858        0.8      0.852      0.503\n",
      "               0003-gz         84          9      0.979      0.778      0.811      0.638\n",
      "               0004-zz         84          8      0.868        0.5      0.656      0.468\n",
      "               0005-xz         84         14      0.817      0.637      0.751      0.549\n",
      "               0008-zc         84         12      0.919          1      0.995      0.707\n",
      "               0009-mt         84          7      0.818          1      0.978      0.724\n",
      "               0010-gz         84          2      0.469          1      0.663      0.435\n",
      "               0011-zw         84         14      0.786      0.525      0.736      0.425\n",
      "            0012-xszyz         84         11      0.912      0.944      0.988      0.713\n",
      "               0014-zz         84          4          1      0.354       0.87      0.727\n",
      "               0015-jc         84         10      0.887      0.785      0.943      0.699\n",
      "              0018-llz         84          4      0.935          1      0.995      0.573\n",
      "             0019-ydzy         84         11       0.91          1      0.957      0.683\n",
      "             0020-hfzy         84         10      0.717        0.6      0.765      0.458\n",
      "             0021-yzsb         84          5        0.8      0.798      0.762      0.585\n",
      "             0028-jcyg         84          2      0.449        0.5      0.257      0.103\n",
      "               0029-tg         84         10          1      0.866      0.978      0.573\n",
      "               0030-gz         84          4      0.945          1      0.995        0.6\n",
      "             0031-rmjq         84          7          1      0.792      0.995      0.635\n",
      "               0033-yq         84          2      0.661          1      0.995      0.921\n",
      "              0035-mys         84         42      0.879       0.69      0.916      0.525\n",
      "          0038-frls-km         84          7       0.96      0.286       0.63        0.4\n",
      "          0039-frls-lj         84          4          1      0.613      0.945      0.611\n",
      "               0042-wb         84          2          1          0      0.331      0.283\n",
      "               0044-qq         84          4          1      0.759      0.995      0.832\n",
      "               0045-kl         84          2      0.906          1      0.995      0.751\n",
      "        0046-jmjt-ymxs         84          5      0.949          1      0.995      0.819\n",
      "        0048-jmjt-qpmf         84          2      0.531          1      0.995      0.846\n",
      "        0049-jmjt-thhg         84          1          1          0      0.995      0.796\n",
      "        0051-jmjt-ftbt         84          2      0.899          1      0.995      0.947\n",
      "      0052-yymy-wxzlps         84          2       0.89          1      0.995      0.602\n",
      "        0060-mnyz-xcrk         84          4      0.938          1      0.995      0.761\n",
      "          0061-mnyz-sj         84         12      0.966          1      0.995      0.966\n",
      "        0062-mnyz-cjjl         84         20          1      0.963      0.995      0.677\n",
      "     0066-mnyz-xcrkwjh         84         39      0.949       0.96      0.944      0.703\n",
      "              0068-bsd         84         11      0.969          1      0.995      0.848\n",
      "              0069-kgj         84         43      0.891      0.947      0.894      0.731\n",
      "Speed: 0.9ms preprocess, 2.2ms inference, 0.0ms loss, 2.0ms postprocess per image\n",
      "Results saved to \u001B[1mF:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\u001B[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ultralytics.utils.metrics.DetMetrics object with attributes:\n",
       "\n",
       "ap_class_index: array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37])\n",
       "box: ultralytics.utils.metrics.Metric object\n",
       "confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x0000016BC152F750>\n",
       "curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']\n",
       "curves_results: [[array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
       "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
       "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
       "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
       "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
       "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
       "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
       "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
       "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
       "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
       "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
       "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
       "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
       "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
       "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
       "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
       "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
       "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
       "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
       "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
       "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
       "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
       "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
       "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
       "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
       "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
       "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
       "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
       "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
       "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
       "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
       "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
       "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
       "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
       "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
       "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
       "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
       "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
       "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
       "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
       "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
       "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.66667,     0.66667,     0.66667, ...,    0.000429,   0.0002145,           0],\n",
       "       [          1,           1,           1, ...,     0.41667,     0.41667,           0],\n",
       "       [          1,           1,           1, ...,   0.0028665,   0.0014333,           0],\n",
       "       ...,\n",
       "       [          1,           1,           1, ...,    0.042385,    0.021193,           0],\n",
       "       [          1,           1,           1, ...,           1,           1,           0],\n",
       "       [          1,           1,           1, ...,    0.053171,    0.026585,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
       "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
       "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
       "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
       "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
       "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
       "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
       "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
       "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
       "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
       "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
       "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
       "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
       "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
       "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
       "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
       "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
       "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
       "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
       "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
       "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
       "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
       "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
       "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
       "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
       "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
       "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
       "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
       "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
       "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
       "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
       "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
       "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
       "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
       "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
       "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
       "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
       "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
       "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
       "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
       "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
       "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.12903,     0.12903,     0.15847, ...,           0,           0,           0],\n",
       "       [    0.24691,     0.24691,     0.30224, ...,           0,           0,           0],\n",
       "       [    0.45161,     0.45161,     0.50238, ...,           0,           0,           0],\n",
       "       ...,\n",
       "       [    0.69725,     0.69725,     0.77963, ...,           0,           0,           0],\n",
       "       [       0.55,        0.55,     0.63572, ...,           0,           0,           0],\n",
       "       [    0.75676,     0.75676,     0.80078, ...,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
       "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
       "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
       "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
       "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
       "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
       "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
       "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
       "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
       "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
       "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
       "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
       "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
       "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
       "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
       "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
       "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
       "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
       "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
       "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
       "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
       "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
       "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
       "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
       "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
       "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
       "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
       "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
       "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
       "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
       "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
       "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
       "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
       "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
       "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
       "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
       "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
       "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
       "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
       "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
       "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
       "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[   0.071429,    0.071429,    0.089923, ...,           1,           1,           1],\n",
       "       [    0.14085,     0.14085,     0.17802, ...,           1,           1,           1],\n",
       "       [    0.31818,     0.31818,     0.37101, ...,           1,           1,           1],\n",
       "       ...,\n",
       "       [    0.54286,     0.54286,     0.64977, ...,           1,           1,           1],\n",
       "       [    0.37931,     0.37931,     0.46597, ...,           1,           1,           1],\n",
       "       [    0.61765,     0.61765,     0.67853, ...,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
       "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
       "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
       "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
       "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
       "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
       "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
       "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
       "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
       "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
       "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
       "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
       "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
       "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
       "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
       "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
       "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
       "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
       "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
       "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
       "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
       "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
       "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
       "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
       "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
       "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
       "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
       "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
       "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
       "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
       "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
       "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
       "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
       "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
       "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
       "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
       "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
       "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
       "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
       "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
       "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
       "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[    0.66667,     0.66667,     0.66667, ...,           0,           0,           0],\n",
       "       [          1,           1,           1, ...,           0,           0,           0],\n",
       "       [    0.77778,     0.77778,     0.77778, ...,           0,           0,           0],\n",
       "       ...,\n",
       "       [    0.97436,     0.97436,     0.97436, ...,           0,           0,           0],\n",
       "       [          1,           1,           1, ...,           0,           0,           0],\n",
       "       [    0.97674,     0.97674,     0.97674, ...,           0,           0,           0]]), 'Confidence', 'Recall']]\n",
       "fitness: 0.658484800025657\n",
       "keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']\n",
       "maps: array([    0.31875,     0.50283,     0.63841,     0.46821,     0.54902,     0.70674,     0.72392,     0.43492,      0.4247,     0.71317,     0.72725,     0.69854,     0.57313,     0.68314,     0.45829,     0.58543,     0.10292,     0.57307,         0.6,     0.63528,     0.92089,     0.52535,     0.39965,     0.61104,\n",
       "           0.28321,     0.83207,      0.7511,     0.81902,     0.84615,       0.796,     0.94659,     0.60167,     0.76094,     0.96567,     0.67658,     0.70252,     0.84841,     0.73117])\n",
       "names: {0: '0001-pm', 1: '0002-xz', 2: '0003-gz', 3: '0004-zz', 4: '0005-xz', 5: '0008-zc', 6: '0009-mt', 7: '0010-gz', 8: '0011-zw', 9: '0012-xszyz', 10: '0014-zz', 11: '0015-jc', 12: '0018-llz', 13: '0019-ydzy', 14: '0020-hfzy', 15: '0021-yzsb', 16: '0028-jcyg', 17: '0029-tg', 18: '0030-gz', 19: '0031-rmjq', 20: '0033-yq', 21: '0035-mys', 22: '0038-frls-km', 23: '0039-frls-lj', 24: '0042-wb', 25: '0044-qq', 26: '0045-kl', 27: '0046-jmjt-ymxs', 28: '0048-jmjt-qpmf', 29: '0049-jmjt-thhg', 30: '0051-jmjt-ftbt', 31: '0052-yymy-wxzlps', 32: '0060-mnyz-xcrk', 33: '0061-mnyz-sj', 34: '0062-mnyz-cjjl', 35: '0066-mnyz-xcrkwjh', 36: '0068-bsd', 37: '0069-kgj'}\n",
       "plot: True\n",
       "results_dict: {'metrics/precision(B)': 0.8689986248655949, 'metrics/recall(B)': 0.7779685588185009, 'metrics/mAP50(B)': 0.8684923112444162, 'metrics/mAP50-95(B)': 0.6351506321124615, 'fitness': 0.658484800025657}\n",
       "save_dir: WindowsPath('F:/code/workspace/StarRail-YOLO/ultralytics/runs/worldpatrol-2176/yolov8n-960-worldpatrol')\n",
       "speed: {'preprocess': 0.8580116998581658, 'inference': 2.15190365200951, 'loss': 0.01191809063866025, 'postprocess': 2.0494943573361355}\n",
       "task: 'detect'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.train(\n",
    "    data=ultralytics_utils.get_dataset_yaml_path(dataset_name),  # 数据集配置文件的位置\n",
    "    project=ultralytics_utils.get_dataset_model_dir(dataset_name),  # 训练模型的数据（包括模型文件）的自动保存位置\n",
    "    name= train_name,\n",
    "    imgsz=train_img_size,\n",
    "    epochs=1000, \n",
    "    batch=-1,  # 根据可使用内存 自动判断batch_size\n",
    "    exist_ok=True,\n",
    "    copy_paste=1,  # 数据集太小，复制多一点\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3cc1b217-73c1-4ca8-9266-386106e91f48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ultralytics YOLOv8.1.44  Python-3.11.9 torch-2.2.2+cu121 CUDA:0 (NVIDIA GeForce RTX 4070 Ti, 12282MiB)\n",
      "Model summary (fused): 168 layers, 3013058 parameters, 0 gradients, 8.1 GFLOPs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001B[34m\u001B[1mval: \u001B[0mScanning F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\labels.cache... 84 images, 0 backgrounds, 0 corrupt: 100%|████\u001B[0m\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 5/5 [00:07<00:00,  1.50s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         84        361      0.869      0.778      0.868      0.636\n",
      "               0001-pm         84          3      0.566      0.466      0.455      0.319\n",
      "               0002-xz         84         10      0.858        0.8      0.852      0.483\n",
      "               0003-gz         84          9      0.979      0.778      0.811      0.638\n",
      "               0004-zz         84          8      0.868        0.5      0.656      0.468\n",
      "               0005-xz         84         14      0.816      0.636      0.751      0.549\n",
      "               0008-zc         84         12      0.919          1      0.995      0.678\n",
      "               0009-mt         84          7      0.818          1      0.978      0.729\n",
      "               0010-gz         84          2      0.469          1      0.663      0.475\n",
      "               0011-zw         84         14      0.786      0.526       0.74      0.426\n",
      "            0012-xszyz         84         11      0.912      0.944      0.988      0.707\n",
      "               0014-zz         84          4          1      0.354       0.87      0.727\n",
      "               0015-jc         84         10      0.887      0.785      0.943      0.695\n",
      "              0018-llz         84          4      0.934          1      0.995      0.573\n",
      "             0019-ydzy         84         11       0.91          1       0.95       0.68\n",
      "             0020-hfzy         84         10      0.717        0.6      0.765      0.458\n",
      "             0021-yzsb         84          5      0.791        0.8      0.762      0.585\n",
      "             0028-jcyg         84          2      0.449        0.5      0.257      0.103\n",
      "               0029-tg         84         10          1      0.867      0.978      0.597\n",
      "               0030-gz         84          4      0.945          1      0.995      0.617\n",
      "             0031-rmjq         84          7          1      0.792      0.995      0.643\n",
      "               0033-yq         84          2       0.66          1      0.995      0.921\n",
      "              0035-mys         84         42      0.879      0.692      0.916      0.523\n",
      "          0038-frls-km         84          7       0.96      0.286      0.629      0.393\n",
      "          0039-frls-lj         84          4          1      0.613      0.945      0.583\n",
      "               0042-wb         84          2          1          0      0.331      0.309\n",
      "               0044-qq         84          4          1       0.76      0.995      0.832\n",
      "               0045-kl         84          2      0.906          1      0.995      0.751\n",
      "        0046-jmjt-ymxs         84          5      0.949          1      0.995      0.819\n",
      "        0048-jmjt-qpmf         84          2      0.531          1      0.995      0.846\n",
      "        0049-jmjt-thhg         84          1          1          0      0.995      0.796\n",
      "        0051-jmjt-ftbt         84          2        0.9          1      0.995      0.947\n",
      "      0052-yymy-wxzlps         84          2      0.889          1      0.995      0.602\n",
      "        0060-mnyz-xcrk         84          4      0.938          1      0.995      0.761\n",
      "          0061-mnyz-sj         84         12      0.966          1      0.995      0.966\n",
      "        0062-mnyz-cjjl         84         20          1      0.964      0.995      0.668\n",
      "     0066-mnyz-xcrkwjh         84         39      0.949       0.96      0.944        0.7\n",
      "              0068-bsd         84         11      0.969          1      0.995       0.87\n",
      "              0069-kgj         84         43      0.891      0.948      0.897      0.744\n",
      "Speed: 4.3ms preprocess, 8.6ms inference, 0.0ms loss, 3.6ms postprocess per image\n",
      "Results saved to \u001B[1mF:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\u001B[0m\n"
     ]
    }
   ],
   "source": [
    "val_result = model.val(imgsz=train_img_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a8e66af-8822-4430-a793-bb43bd214681",
   "metadata": {},
   "outputs": [],
   "source": [
    "# model = YOLO(ultralytics_utils.get_train_model_path(dataset_name, train_name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a1602088-0e65-4491-8942-bcdcfb18a5b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ultralytics YOLOv8.1.44  Python-3.11.9 torch-2.2.2+cu121 CPU (AMD Ryzen 9 5950X 16-Core Processor)\n",
      "WARNING  imgsz=[540, 960] must be multiple of max stride 32, updating to [544, 960]\n",
      "Model summary (fused): 168 layers, 3013058 parameters, 0 gradients, 8.1 GFLOPs\n",
      "\n",
      "\u001B[34m\u001B[1mPyTorch:\u001B[0m starting from 'F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\\best.pt' with input shape (1, 3, 544, 960) BCHW and output shape(s) (1, 42, 10710) (6.2 MB)\n",
      "\n",
      "\u001B[34m\u001B[1mONNX:\u001B[0m starting export with onnx 1.16.0 opset 17...\n",
      "\u001B[34m\u001B[1mONNX:\u001B[0m export success  0.7s, saved as 'F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\\best.onnx' (11.7 MB)\n",
      "\n",
      "Export complete (2.4s)\n",
      "Results saved to \u001B[1mF:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\u001B[0m\n",
      "Predict:         yolo predict task=detect model=F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\\best.onnx imgsz=544,960  \n",
      "Validate:        yolo val task=detect model=F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\runs\\worldpatrol-2176\\yolov8n-960-worldpatrol\\weights\\best.onnx imgsz=544,960 data=F:\\code\\workspace\\StarRail-YOLO\\ultralytics\\datasets\\worldpatrol-2176\\dataset.yaml  WARNING  non-PyTorch val requires square images, 'imgsz=[544, 960]' will not work. Use export 'imgsz=960' if val is required.\n",
      "Visualize:       https://netron.app\n"
     ]
    }
   ],
   "source": [
    "ultralytics_utils.export_model(dataset_name,\n",
    "                               train_name=train_name,\n",
    "                               imgsz=export_img_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "651a41bd-ca42-442f-855f-f61e23905d62",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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